The paper presents and analyzes the state-of-the-art machine learning techniques that can be applied as a decision-support system in the estimation of resource consumption in the construction of reinforced concrete and prestressed concrete road bridges. The formed database on the consumption of concrete in the construction of bridges, along with their project characteristics, was the basis for the formation of the assessment model. The models were built using information from 181 reinforced concrete bridges in the eastern and southern branches of Corridor X in Serbia, with a value of more than 100 million euros. The application of artificial neural network models (ANNs), models based on regression trees (RTs), models based on support vector machines (SVM), and Gaussian processes regression (GPR) were analyzed. The accuracy of each model is determined by multi-criterion evaluation against four accuracy criteria root mean square error (RMSE), mean absolute error (MAE), Pearson’s linear correlation coefficient (R), and mean absolute percentage error (MAPE). According to all established criteria, the model based on GPR demonstrated the greatest accuracy in calculating the concrete consumption of bridges. According to the study, using automatic relevance determination (ARD) covariance functions results in the most accurate and optimal models and also makes it possible to see how important each input variable is to the model’s accuracy.

Preliminary communicationDesigning road projects involves a complex decision-making process whose objectives should be the implementation of the road design and its utilization in the narrowest sense, but also the facilitation of mobility, economic development of the area and improvement of the quality of life in a wider sense. All of this requires the consideration and understanding of many problems multi-criterial in nature, and decision making with regard to technical components, environmental constraints and the impact on society. The main goal of this paper is to use a real example to explain the role and significance of multicriteria evaluation methods. The theoretical postulates of multi-criteria evaluation are presented (VIKOR method). Using multi-criteria evaluation methods ranking was carried out of the alternative solutions offered for the E-763 highway route Belgrade-South Adriatic (Požega-Boljare section). Ranking was carried out on the basis of 12 criteria which form the basis for evaluating each of the alternative solutions. The calculation was performed using the VIKOR program packages and an analysis of the results obtained was carried out. Keywords: alternative solutions; criteria; highway route; multi-criteria evaluation; ranking; road design; VIKOR Vrednovanje varijantnih rešenja trase autoputa E-763 Beograd -Južni Jadran: studija slučaja u SrbijiPrethodno priopćenje Projektiranje putova predstavlja složen proces donošenja odluka čiji osnovni cilj treba biti realizacija projekta puta i njegova eksploatacija u užem smislu, ali i omogućavanje mobilnosti, privrednog razvoja područja i poboljšanje kvaliteta života u širem smislu. Sve ovo zahtjeva sagledavanje i razumijevanje mnogih problema koji su višekriterijske prirode i donošenje odluka u vezi sa tehničkim komponentama, ograničenjima okruženja i utjecajima na društvo. Osnovni cilj rada je da se na realnom primjeru objasni uloga i značaj metoda višekriterijskog vrednovanja. Prezentirane su teorijske postavke višekriterijskog vrednovanja. Primjenom metode višekriterijskog vrednovanja (metoda VIKOR) izvršeno je rangiranje ponuđenih alternativnih rešenja trase autoputa E-763 Beograd-Južni Jadran (dionica Požega-Boljare). Rangiranje je izvršeno na osnovu 12 kriterija koji čine osnovu vrednovanja svakog alternativnog rešenja. Proračun je izveden primjenom programskog paketa VIKOR i izvršena je analiza dobivenih rezultata.

In current practice, the remediation of landslides has shown that the biggest problem is the increase in the number of works, and therefore the price of the works. This is due to several factors, including characteristic of the soil, such as the collapse (collapse) of the surrounding ground around the main slide during landslide remediation. Unless these soil erosion effects are taken into account, recovery costs will overrun, which can jeopardize the planned budget. This paper presents a multi-criteria optimization of landslide remediation using the PROMETHEE method and determines the optional number of walls for the additional soil erosion. In a case study on examples of real landslides in the Republic of Serbia, the application of the method is presented and appropriate conclusions are drawn.

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Serbia is upgrading its Core Railway Network in line with international agreements with a view to reaching the EU standards of interoperability. It aims to revitalise and develop the railway network giving priority to Pan-European Corridor X, which is the backbone of the system, and to SEETO routes 10 and 11 (as part of Indicative Extension of TEN-T Core rail network) on which the Stalać-Kraljevo-Rudnica line is located. The overall objective of Reconstruction and modernization of the railway line Stalać-Kraljevo-Rudnica is to safeguard the functionality by aligning it with the relevant standards as specified in the TEN-T regulations and TSI requirements. The purpose of this paper is to define the options for each of the proposed parameters (Single-track or Double-track, Axle load, Design speed, Technical solutions for structures (tunnels, bridges, underpasses and overpasses), Electrification, Signalling, Telecommunications and management, Stations, Environmental protection and Social Environment) and select the desired option.